Head of Revenue Trading, STN Car Parks

Head of Revenue Trading, STN Car Parks

Full-Time 55000 - 65000 Β£ / year (est.) No working from home possible
hackajob

At a Glance

  • Tasks: Lead pricing strategy for Stansted Airport's car parks and drive revenue goals.
  • Company: CAVU, a dynamic company based in Manchester with a focus on innovation.
  • Benefits: Competitive pension, annual bonus scheme, and flexible working options.
  • Other info: Hybrid work environment with opportunities for professional growth.
  • Why this job: Make a significant impact on revenue management in a key role.
  • Qualifications: Strong background in revenue management and successful pricing strategies.

The predicted salary is between 55000 - 65000 Β£ per year.

hackajob is excited to present an opportunity for the Head of Trading role at CAVU, located in Manchester, England.

This hybrid, permanent position involves leading the pricing strategy for Stansted Airport's car parks, ensuring the achievement of revenue goals.

The ideal candidate will have a strong background in revenue management, a proven track record of successful pricing strategies, and experience in budget ownership.

Employee benefits include a competitive pension, annual bonus scheme, and (flexible) working options. #J-18808-Ljbffr

Head of Revenue Trading, STN Car Parks employer: hackajob

At hackajob, we pride ourselves on being an exceptional employer that fosters a culture of innovation and inclusivity. Our diverse team thrives in a high-performance environment where your contributions directly impact our multi-asset platform's success. With ample opportunities for professional growth and a commitment to employee development, joining us means being part of a forward-thinking company that values your expertise and ambition.

hackajob

Contact Details:

hackajob Recruitment Team

We think you need these skills to ace Head of Revenue Trading, STN Car Parks

Revenue Management
Pricing Strategy
Budget Ownership
Analytical Skills
Strategic Thinking
Financial Acumen
Data Analysis